Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Cognee with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Build knowledge graphs from unstructured data. ingest text, extract entities and relationships, and search with graph-aware AI reasoning.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Cognee capability set.

These are the exact actions your AI can choose when you ask it to work with Cognee.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Cognee.

  1. 01

    Cognee add data

    After ingestion, use the cognify capability to process the data into a structured knowledge graph with entities and relationships. Ingest text or documents into the Cognee knowledge base. This is the first step before building a knowledge graph

  2. 02

    Cognee cognify

    This step extracts entities, identifies relationships, generates embeddings, and creates the graph structure needed for intelligent search. Process ingested data into a structured knowledge graph. Extracts entities, relationships, and builds a searchable graph structure

  3. 03

    Cognee search

    Search the knowledge graph using natural language. Returns context-aware answers using graph traversal and semantic search

  4. 04

    Cognee get insights

    Useful for understanding relationships between topics, discovering hidden connections, and building comprehensive knowledge views. Retrieve structured entity relationships and insights from the knowledge graph

Observed, not estimated

843ms average. Fast in production.

Cognee is checked daily against the live service.

Daily averagePeak 985ms
Aug 20Today
Fastest day
673ms
Slowest day
985ms
14-day trend
Slowing+15%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Cognee, so you can see the experience inside your AI.

It does not authenticate your account with Cognee. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Cognee Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Cognee capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cognee-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Cognee owners ask.

  • 01

    How is Cognee different from standard RAG?

    Standard RAG splits documents into chunks and finds similar text using vector search. but it loses the relationships between facts. Cognee builds a knowledge graph that preserves entity relationships, temporal connections, and hierarchical structures. When you search, Cognee uses graph traversal combined with vector similarity and LLM reasoning, resulting in more accurate, context-aware answers that understand HOW facts relate to each other.

  • 02

    What search types are available?

    Cognee supports four retrieval strategies: GRAPH_COMPLETION (default. combines vector search + graph traversal + LLM reasoning for context-aware answers), SUMMARIES (fast hierarchical overview search), INSIGHTS (structured entity relationships), and CHUNKS (pure vector similarity for raw text passages). Each strategy optimizes for different use cases.

  • 03

    Is Cognee open-source?

    Yes! Cognee is fully open-source under the Apache 2.0 license. You can self-host the entire platform including the knowledge graph engine, vector database, and API server. A managed cloud version with API keys is also available for teams that prefer not to manage infrastructure.

Explore

More in AI Frontier

Suggestions